iPhone15,3
Geekbench ML Score
2496
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 07 2022 01:29 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.0.2 |
| Model | iPhone15,3 |
| Model ID | iPhone15,3 |
| Motherboard | D74AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.44 GHz |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 5.49 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2923
313.2 IPS |
|
|
Image Classification (F16)
|
100% |
4652
498.5 IPS |
|
|
Image Classification (I8)
|
81% |
745
79.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
6412
39.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
9154
56.5 IPS |
|
|
Image Segmentation (I8)
|
89% |
1360
8.40 IPS |
|
|
Pose Estimation (F32)
|
100% |
2397
9.70 IPS |
|
|
Pose Estimation (F16)
|
100% |
5125
20.7 IPS |
|
|
Pose Estimation (I8)
|
80% |
258
1.04 IPS |
|
|
Object Detection (F32)
|
100% |
3335
117.0 IPS |
|
|
Object Detection (F16)
|
100% |
3565
125.1 IPS |
|
|
Object Detection (I8)
|
52% |
1062
37.3 IPS |
|
|
Face Detection (F32)
|
100% |
5895
67.7 IPS |
|
|
Face Detection (F16)
|
97% |
9999
114.9 IPS |
|
|
Face Detection (I8)
|
75% |
1034
11.9 IPS |
|
|
Text Classification (F32)
|
100% |
1915
757.3 IPS |
|
|
Text Classification (F16)
|
100% |
1880
743.4 IPS |
|
|
Machine Translation (F32)
|
100% |
2232
344.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2230
343.6 IPS |
